Johns Hopkins University
Foundations of Data Visualization
Johns Hopkins University

Foundations of Data Visualization

本课程是 Data Visualization 专项课程 的一部分

Jesus Caban

位教师:Jesus Caban

包含在 Coursera Plus

深入了解一个主题并学习基础知识。
中级 等级

推荐体验

2 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
中级 等级

推荐体验

2 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • Understand core data visualization concepts, its history, and how it enhances data comprehension for decision-making and storytelling.

  • Learn to select the appropriate chart types for different data sets, considering data types and visualization techniques.

  • Explore human visual perception, how it affects data interpretation, and how to use perceptual principles for better visualizations.

  • Gain knowledge of key design principles, focusing on clarity, simplicity, and aesthetics to create impactful and easy-to-understand visualizations.

要了解的详细信息

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作业

12 项作业

授课语言:英语(English)

了解顶级公司的员工如何掌握热门技能

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Data Visualization 专项课程 专项课程的一部分
在注册此课程时,您还会同时注册此专项课程。
  • 向行业专家学习新概念
  • 获得对主题或工具的基础理解
  • 通过实践项目培养工作相关技能
  • 获得可共享的职业证书

该课程共有5个模块

This course introduces fundamental concepts of data visualization, focusing on understanding how data can be effectively visualized for insight generation. The modules cover basic techniques, human visual perception, and essential design principles, setting a strong foundation in visualization for those new to the field or wanting to enhance their design skills.

涵盖的内容

2篇阅读材料

In this introductory module, learners will explore the foundational aspects of data visualization, gaining insights into the key topics covered throughout the course. Learners will also become familiar with the grading criteria and structure, setting clear expectations for learning journey. This module provides an overview of high-level concepts in data visualization, tracing its history, evolution, and purpose in enhancing data understanding and decision-making. By the end, learners will have a solid understanding of what lies ahead and how data visualization can transform complex information into actionable insights.

涵盖的内容

5个视频2篇阅读材料3个作业

In this module, learners will delve into foundational visualization techniques and learn to differentiate key data types, including nominal and ordinal data. Learners will be able to explore a range of basic visualization methods, examine their strengths and limitations, and gain insight into how these techniques can be adapted to represent multiple variables effectively. By the end of this module, learners will be equipped to select and apply suitable visualization techniques based on data type and analysis needs.

涵盖的内容

4个视频3篇阅读材料3个作业

This module explores how human visual perception shapes our understanding of visual data, focusing on the workings of the visual system and how we interpret visual information. Learners will learn the distinctions between pre-attentive and attentive processing, which play crucial roles in how we notice and interpret data. Additionally, they’ll examine various encoding techniques within visualizations to enhance data comprehension and engagement. By the end of this module, learners will understand how to leverage perceptual principles to create effective and intuitive data visualizations.

涵盖的内容

4个视频4篇阅读材料3个作业

This module equips learners with key principles for creating clear and impactful data visualizations. Learners will explore the data-to-ink concept, principles of graphical excellence, and the re-design process to enhance existing visuals. Through practical exercises and case studies, learners will master the art of crafting compelling visual narratives that effectively communicate insights and support decision-making.

涵盖的内容

3个视频3篇阅读材料3个作业

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位教师

Jesus Caban
Johns Hopkins University
3 门课程1,137 名学生

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